MINLPLib
A Library of Mixed-Integer and Continuous Nonlinear Programming Instances
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Instance chem
Formatsⓘ | ams gms mod nl osil py |
Primal Bounds (infeas ≤ 1e-08)ⓘ | |
Other points (infeas > 1e-08)ⓘ | |
Dual Boundsⓘ | -47.70651533 (ANTIGONE) -47.70651488 (BARON) -47.70655845 (COUENNE) -47.70654626 (LINDO) -47.70652115 (SCIP) |
Referencesⓘ | Bracken, Jerome and McCormick, Garth P, Chapter 5. In Bracken, Jerome and McCormick, Garth P, Selected Applications of Nonlinear Programming, John Wiley and Sons, New York, 1968, 48-49. |
Sourceⓘ | GAMS Model Library model chem |
Applicationⓘ | Chemical Equilibrium |
Added to libraryⓘ | 31 Jul 2001 |
Problem typeⓘ | NLP |
#Variablesⓘ | 11 |
#Binary Variablesⓘ | 0 |
#Integer Variablesⓘ | 0 |
#Nonlinear Variablesⓘ | 11 |
#Nonlinear Binary Variablesⓘ | 0 |
#Nonlinear Integer Variablesⓘ | 0 |
Objective Senseⓘ | min |
Objective typeⓘ | nonlinear |
Objective curvatureⓘ | nonconcave |
#Nonzeros in Objectiveⓘ | 11 |
#Nonlinear Nonzeros in Objectiveⓘ | 11 |
#Constraintsⓘ | 4 |
#Linear Constraintsⓘ | 4 |
#Quadratic Constraintsⓘ | 0 |
#Polynomial Constraintsⓘ | 0 |
#Signomial Constraintsⓘ | 0 |
#General Nonlinear Constraintsⓘ | 0 |
Operands in Gen. Nonlin. Functionsⓘ | div log mul |
Constraints curvatureⓘ | linear |
#Nonzeros in Jacobianⓘ | 25 |
#Nonlinear Nonzeros in Jacobianⓘ | 0 |
#Nonzeros in (Upper-Left) Hessian of Lagrangianⓘ | 31 |
#Nonzeros in Diagonal of Hessian of Lagrangianⓘ | 11 |
#Blocks in Hessian of Lagrangianⓘ | 1 |
Minimal blocksize in Hessian of Lagrangianⓘ | 11 |
Maximal blocksize in Hessian of Lagrangianⓘ | 11 |
Average blocksize in Hessian of Lagrangianⓘ | 11.0 |
#Semicontinuitiesⓘ | 0 |
#Nonlinear Semicontinuitiesⓘ | 0 |
#SOS type 1ⓘ | 0 |
#SOS type 2ⓘ | 0 |
Minimal coefficientⓘ | 1.0000e+00 |
Maximal coefficientⓘ | 3.4021e+01 |
Infeasibility of initial pointⓘ | 1.993 |
Sparsity Jacobianⓘ | |
Sparsity Hessian of Lagrangianⓘ |
$offlisting * * Equation counts * Total E G L N X C B * 5 5 0 0 0 0 0 0 * * Variable counts * x b i s1s s2s sc si * Total cont binary integer sos1 sos2 scont sint * 12 12 0 0 0 0 0 0 * FX 0 * * Nonzero counts * Total const NL DLL * 37 26 11 0 * * Solve m using NLP minimizing objvar; Variables x1,x2,x3,x4,x5,x6,x7,x8,x9,x10,x11,objvar; Equations e1,e2,e3,e4,e5; e1.. x1 + 2*x2 + 2*x3 + x6 + x10 =E= 2; e2.. x4 + 2*x5 + x6 + x7 =E= 1; e3.. x3 + x7 + x8 + 2*x9 + x10 =E= 1; e4.. -((-6.05576803624071 + log(x1/x11))*x1 + (-17.1307680362407 + log(x2/x11)) *x2 + (-34.0207680362407 + log(x3/x11))*x3 + (-5.88076803624071 + log(x4/ x11))*x4 + (-24.6877680362407 + log(x5/x11))*x5 + (-14.9527680362407 + log(x6/x11))*x6 + (-24.0667680362407 + log(x7/x11))*x7 + (- 10.6747680362407 + log(x8/x11))*x8 + (-26.6287680362407 + log(x9/x11))*x9 + (-22.1447680362407 + log(x10/x11))*x10) + objvar =E= 0; e5.. - x1 - x2 - x3 - x4 - x5 - x6 - x7 - x8 - x9 - x10 + x11 =E= 0; * set non-default bounds x1.lo = 0.001; x2.lo = 0.001; x3.lo = 0.001; x4.lo = 0.001; x5.lo = 0.001; x6.lo = 0.001; x7.lo = 0.001; x8.lo = 0.001; x9.lo = 0.001; x10.lo = 0.001; x11.lo = 0.01; Model m / all /; m.limrow=0; m.limcol=0; m.tolproj=0.0; $if NOT '%gams.u1%' == '' $include '%gams.u1%' $if not set NLP $set NLP NLP Solve m using %NLP% minimizing objvar;
Last updated: 2024-12-17 Git hash: 8eaceb91